数智技术赋能制造业新质生产力发展的路径研究

贺涵轩

高科技与产业化 ›› 2026, Vol. 32 ›› Issue (4) : 24.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
高科技与产业化 ›› 2026, Vol. 32 ›› Issue (4) : 24.
产业观察

数智技术赋能制造业新质生产力发展的路径研究

  • 贺涵轩
作者信息 +

Research on the Paths of Empowering the Development of New Quality Productive Forces in the Manufacturing Industry through Digital and Intelligent Technologies

  • HE Hanxuan
Author information +
文章历史 +

摘要

制造业属于国民经济的主体,是立国之本、兴国之器、强国之基,也是中国式现代化的重要支撑。当下制造业正在加快人工智能技术融合与应用进程。数智技术属于关键技术支撑,它从工艺创新、数据驱动、模式转型及绿色制造等方面出发,全方位引领制造业朝着高端化、智能化、绿色化迈进,包含改善生产流程、提高决策效能、推动柔性定制以及形成资源循环体系等内容。若要再进一步提升制造业的新质生产力水平,则需着力扶持中小企业转型、改良数据治理状况、培育专业人才并攻克关键核心技术难题,从而为制造业高质量发展赋予长久动力。

Abstract

Manufacturing is the mainstay of the national economy, the foundation for establishing a nation, the instrument for its prosperity, and the basis for its strength. It is also a crucial support for China's modernization. Currently, the manufacturing industry is accelerating the integration and application of artificial intelligence technologies. As key technical supports, Digital and Intelligent Technologies are leading the manufacturing industry towards high end, intelligent, and green development in aspects including process innovation, data-driven approaches, model transformation, and green manufacturing. This includes optimizing production processes, enhancing decision-making efficiency, promoting flexible customization, and building a resource recycling system. To further improve the new quality productive forces level of the manufacturing industry, efforts should be made to support the transformation of small and medium-sized enterprises, improve data governance, cultivate professional talents, and overcome key core technology challenges, thereby providing long-term impetus for the high-quality development of the manufacturing industry.

关键词

数智技术 / 制造业 / 新质生产力

Key words

digital intelligence technology / manufacturing / new quality productive forces

引用本文

导出引用
贺涵轩. 数智技术赋能制造业新质生产力发展的路径研究[J]. 高科技与产业化. 2026, 32(4): 24
HE Hanxuan. Research on the Paths of Empowering the Development of New Quality Productive Forces in the Manufacturing Industry through Digital and Intelligent Technologies[J]. High-Technology and Commercialization. 2026, 32(4): 24

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